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Berivan Isik
Berivan Isik
Google
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
rTop-k: A Statistical Estimation Approach to Distributed SGD
B Isik*, LP Barnes*, HA Inan*, A Özgür
IEEE Journal on Selected Areas in Information Theory 1 (3), 897 - 907, 2020
712020
Sparse random networks for communication-efficient federated learning
B Isik, F Pase, D Gunduz, T Weissman, M Zorzi
International Conference on Learning Representations (ICLR), 2023
622023
An information-theoretic justification for model pruning
B Isik, T Weissman, A No
International Conference on Artificial Intelligence and Statistics, 3821-3846, 2022
52*2022
Scaling laws for downstream task performance of large language models
B Isik, N Ponomareva, H Hazimeh, D Paparas, S Vassilvitskii, S Koyejo
International Conference on Learning Representations (ICLR), 2025
372025
Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks
B Isik, P Chou, SJ Hwang, N Johnston, G Toderici
Frontiers in Signal Processing, 65, 2022
312022
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
B Isik, WN Chen, A Ozgur, T Weissman, A No
Advances in Neural Information Processing Systems 36, 2023
182023
Neural network compression for noisy storage devices
B Isik, K Choi, X Zheng, T Weissman, S Ermon, HSP Wong, A Alaghi
ACM Transactions on Embedded Computing Systems 22 (3), 1-29, 2023
18*2023
Adaptive compression in federated learning via side information
B Isik, F Pase, D Gunduz, S Koyejo, T Weissman, M Zorzi
International Conference on Artificial Intelligence and Statistics, 487-495, 2024
15*2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
A Panda, B Isik, X Qi, S Koyejo, T Weissman, P Mittal
arXiv preprint arXiv:2406.16797, 2024
11*2024
GPT-Zip: Deep Compression of Finetuned Large Language Models
B Isik, H Kumbong, W Ning, X Yao, S Koyejo, C Zhang
Workshop on Efficient Systems for Foundation Models @ICML2023, 2023
112023
Sandwiched video compression: Efficiently extending the reach of standard codecs with neural wrappers
B Isik, OG Guleryuz, D Tang, J Taylor, PA Chou
IEEE International Conference on Image Processing (ICIP), 2023
112023
Neural 3d scene compression via model compression
B Isik
IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops, 2021
102021
Learning under storage and privacy constraints
B Isik, T Weissman
2022 IEEE International Symposium on Information Theory (ISIT), 1844-1849, 2022
72022
Lossy compression of noisy data for private and data-efficient learning
B Isik, T Weissman
IEEE Journal on Selected Areas in Information Theory 3 (4), 815-823, 2022
62022
On Fairness of Low-Rank Adaptation of Large Models
Z Ding, KZ Liu, P Peetathawatchai, B Isik, S Koyejo
Conference on Language Modeling (COLM), 2024
32024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
R Schaeffer, V Lecomte, DB Pai, A Carranza, B Isik, A Unell, M Khona, ...
arXiv preprint arXiv:2406.09366, 2024
32024
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
B Isik, V Lecomte, R Schaeffer, Y LeCun, M Khona, R Shwartz-Ziv, ...
NeurIPS 2023, UniReps: the First Workshop on Unifying Representations in …, 2023
3*2023
Improved Communication-Privacy Trade-offs in Mean Estimation under Streaming Differential Privacy
WN Chen, B Isik, P Kairouz, A No, S Oh, Z Xu
International Conference on Machine Learning (ICML), 2024
22024
Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers
OG Guleryuz, PA Chou, B Isik, H Hoppe, D Tang, R Du, J Taylor, ...
arXiv preprint arXiv:2402.05887, 2024
22024
Sketching for Distributed Deep Learning: A Sharper Analysis
M Shrivastava, B Isik, Q Li, S Koyejo, A Banerjee
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
2024
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Статьи 1–20